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Deep Learning based Stereo Vision Camera System

Published: 02 December 2024 Publication History

Abstract

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References

[1]
Stephen T Barnard and Martin A Fischler. 1982. Computational stereo. ACM Computing Surveys (CSUR) 14, 4 (1982), 553–572.
[2]
Heiko Hirschmuller. 2005. Accurate and efficient stereo processing by semi-global matching and mutual information. In 2005 IEEE computer society conference on computer vision and pattern recognition (CVPR’05), Vol. 2. IEEE, 807–814.
[3]
Ximeng Li, Chen Zhang, Wanjuan Su, and Wenbing Tao. 2024. IINet: Implicit Intra-inter Information Fusion for Real-Time Stereo Matching. In Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 38. 3225–3233.
[4]
Tonmoy Saikia, Yassine Marrakchi, Arber Zela, Frank Hutter, and Thomas Brox. 2019. Autodispnet: Improving disparity estimation with automl. In Proceedings of the ieee/cvf international conference on computer vision. 1812–1823.
[5]
Gangwei Xu, Xianqi Wang, Xiaohuan Ding, and Xin Yang. 2023. Iterative geometry encoding volume for stereo matching. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 21919–21928.

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cover image ACM Conferences
SA '24: SIGGRAPH Asia 2024 Posters
December 2024
260 pages
ISBN:9798400711381
DOI:10.1145/3681756
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the owner/author(s).

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 December 2024

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Author Tags

  1. Stereo vision camera
  2. Deep learning
  3. Embedded system
  4. Real-time

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SA '24
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SA '24: SIGGRAPH Asia 2024 Posters
December 3 - 6, 2024
Tokyo, Japan

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Overall Acceptance Rate 178 of 869 submissions, 20%

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